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Elasticflow vs MCP Local Rag

A side-by-side look at the Elasticflow and MCP Local Rag MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Elasticflow logoElasticflowKnowledge & Memory · Remote HTTP/SSEAI-native team workspace — tables, documents, workflow automation, live dashboards & analytics49FairAuth: not declaredMCP Local Rag logoMCP Local RagKnowledge & Memory · Local subprocess (stdio)Privacy-first document search server running entirely locally. Supports semantic search over PDFs, DOCX, TXT, and Markdown files with LanceDB vector storage and local embeddings - no API keys or cloud services required.69GreatAuth: no auth required

Verdict: choose Elasticflow for knowledge & memory work over a hosted endpoint; choose MCP Local Rag for knowledge & memory as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Elasticflow logoChoose Elasticflow when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a remote HTTP/SSE transport.
  • You want tools like mcp_workspaces_list, mcp_workspaces_get, mcp_workspaces_create.
Explore Elasticflow

MCP Local Rag logoChoose MCP Local Rag when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: No auth required.
  • You have the keys it needs: BASE_DIR, BASE_DIRS, IGNORE_PATHS, DB_PATH, CACHE_DIR, HF_ENDPOINT.
  • You want tools like sync_start, sync_status, ingest_file.
Explore MCP Local Rag

Feature & specification comparison

Rows where the two servers differ are marked.

SpecElasticflow logoElasticflowMCP Local Rag logoMCP Local Rag
CategoryKnowledge & MemoryKnowledge & Memory
Quality signal49/100 · Fair69/100 · Great
Install commandConfirmedConfirmed
TransportRemote HTTP/SSELocal subprocess (stdio)
AuthNot declaredNo auth required
PricingNot declaredFree
Required env varsNone listedBASE_DIRBASE_DIRSIGNORE_PATHSDB_PATHCACHE_DIRHF_ENDPOINT
Verified ownerCommunity listingCommunity listing
GitHub stars2416
Directory activity 1 views 0 installs 0 upvotes 13 views 0 installs 0 upvotes
Tools469
Full listingView Elasticflow View MCP Local Rag

Tools & capabilities

Elasticflow tools 46

  • mcp_workspaces_listSee all workspaces your team has access to
  • mcp_workspaces_getGet workspace details — members, settings, usage
  • mcp_workspaces_createSet up a new workspace for a team, project, or department
  • mcp_workspaces_updateRename, configure, or adjust workspace settings
  • mcp_tables_list_tablesBrowse all tables in a workspace
  • mcp_tables_get_tableView table structure — columns, types, row count
  • mcp_tables_list_column_typesSee available column types (text, number, date, select, etc.)
  • mcp_tables_create_tableCreate a new table for tracking leads, orders, tasks, or anything else
  • mcp_tables_update_tableRename a table or change its settings
  • mcp_tables_delete_tableRemove a table you no longer need
  • mcp_tables_create_columnAdd a new field — e.g. "Deal Size", "Due Date", "Status"
  • mcp_tables_update_columnChange a column's name, type, or options
  • +34 more on the listing page

MCP Local Rag tools 9

  • sync_startReconcile the index with all configured roots or one path
  • sync_statusPoll a running sync job
  • ingest_fileIngest or replace one file
  • ingest_dataIngest text, Markdown, or HTML already held by the client
  • query_documentsSearch with semantic matching and keyword boost
  • read_chunk_neighborsRead surrounding chunks from a search result
  • list_filesShow supported files and their ingestion state
  • delete_fileDelete an indexed file or an `ingest_data` item
  • statusShow index and search status

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Elasticflow

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "elasticflow": {
      "url": "https://mcp.elasticflow.app/mcp"
    }
  }
}

MCP Local Rag

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "shinpr-mcp-local-rag": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-local-rag"
      ],
      "env": {
        "BASE_DIR": "YOUR_BASE_DIR_HERE",
        "BASE_DIRS": "YOUR_BASE_DIRS_HERE",
        "IGNORE_PATHS": "YOUR_IGNORE_PATHS_HERE",
        "DB_PATH": "YOUR_DB_PATH_HERE",
        "CACHE_DIR": "YOUR_CACHE_DIR_HERE",
        "HF_ENDPOINT": "YOUR_HF_ENDPOINT_HERE"
      }
    }
  }
}

Frequently asked questions

Elasticflow is categorized under Knowledge & Memory and uses a remote HTTP/SSE transport. MCP Local Rag belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Elasticflow for knowledge & memory work and MCP Local Rag for knowledge & memory.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Elasticflow has no declared pricing — check the project's own site. MCP Local Rag is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add elasticflow and shinpr-mcp-local-rag as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Elasticflow has a quality signal of 49/100 (Fair) with 1 views, 0 installs and 2 GitHub stars. MCP Local Rag has 69/100 (Great) with 13 views, 0 installs and 416 GitHub stars.

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